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Real-time Imaging and Holdup Measurement of Carbon Dioxide under CCS Conditions Using Electrical Capacitance Tomography

Sun, Shijie, Zhang, Wenbiao, Sun, Jiangtao, Cao, Zhang, Xi, Lijun, Yan, Yong (2018) Real-time Imaging and Holdup Measurement of Carbon Dioxide under CCS Conditions Using Electrical Capacitance Tomography. IEEE Sensors Journal, 18 (18). p. 1. ISSN 1530-437X. (doi:10.1109/JSEN.2018.2858448)

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Abstract

This paper presented a method for real-time

cross-sectional imaging and holdup measurement of gas-liquid

two-phase carbon dioxide (CO2) flow using electrical

capacitance tomography (ECT). A high-pressure ECT sensor

with 12 electrodes was constructed and a dedicated digital ECT

system with a data acquisition rate of 757 frames per second was

developed for capacitance measurement. Three widely-used

image reconstruction algorithms were compared for

tomographic imaging and phase holdup measurement.

Experiments were carried out on a DN25 laboratorial scale CO2

two-phase flow rig at a pressure of 6 MPa for the gaseous mass

flowrates from 0 to 430 kg/h and liquid mass flowrates at 515,

1100 and 1900 kg/h. The experimental results show that the

cross-sectional distribution of two-phase CO2 flow can be

monitored using the ECT system, which matches well with the

images captured by a high-speed imaging system. Compared

with the reference gas holdup obtained by the flowmeters in the

single phase gaseous and liquid loops, the absolute accuracy of

the gas holdup measurement can reach 6%, indicating that the

developed system is promising for real-time monitoring of

carbon dioxide in CCS transportation pipelines.

Item Type: Article
DOI/Identification number: 10.1109/JSEN.2018.2858448
Uncontrolled keywords: Electrical capacitance tomography, Carbon dioxide transport, Image reconstruction, Holdup measurement
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yong Yan
Date Deposited: 28 Aug 2018 10:29 UTC
Last Modified: 23 Jul 2019 23:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/68831 (The current URI for this page, for reference purposes)
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